The broad objective of the proposed research is high-resolution genetic dissection of a large number of complex and quantitative traits in the nematode worm C. elegans. Success in understanding the genetic basis of phenotypic variation in a metazoan will provide critical guidance for the design of genotype- phenotype studies in humans and other organisms of medical, biological, and agricultural interest, as well as supply insights into regulatory networks that connect genetic and phenotypic variation and into the evolution of phenotypic variation. Specifically, we will develop and genotype a large set of high-resolution recombinant inbred lines (RILs) from a cross between Bristol and Hawaiian isolates, and genotype a diverse collection of wild isolates. We will then use microarrays to generate expression profiles for the RILs and wild isolates, and carry out linkage and association analysis to define loci that affect gene expression. We will identify individual loci as well as pairs of interacting loci. We will determine which loci affect expression through polymorphisms in the encoding gene or its nearby control regions, and which affect expression of genes at distant locations. We will identify """"""""hot spots""""""""-loci that affect the expression of many genes, and use bioinformatic approaches to integrate the results with regulatory networks. We will also assay behavioral and age-related phenotypes in the RILs, map loci that affect these phenotypes, and integrate these phenotypes with transcript data. Finally, we will identify the genes and polymorphisms that underlie several transcriptional, behavioral and age-related phenotypes and confirm their roles through transgenic and RNAi experiments. We have already successfully carried out similar studies in yeast, and expect that the results will be even richer in C. elegans, given its more complex regulation in the context of multicellularity and development. ? ? Relevance to public health: Genetic factors underlie susceptibility to virtually every human disease. Much of current biomedical research is based on the expectation that identifying these factors is a crucial step in improving diagnosis, prevention, and treatment. Identification is difficult because the genetic basis of common disorders is complex, with disease susceptibility influenced by multiple genes in interaction with each other and with environmental factors. The proposed research will improve our understanding of such interactions and will provide critical guidance for studies of the genetic basis of common human diseases. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project (R01)
Project #
1R01HG004321-01
Application #
7298747
Study Section
Genetic Variation and Evolution Study Section (GVE)
Program Officer
Brooks, Lisa
Project Start
2007-08-16
Project End
2010-06-30
Budget Start
2007-08-16
Budget End
2008-06-30
Support Year
1
Fiscal Year
2007
Total Cost
$335,750
Indirect Cost
Name
Princeton University
Department
Type
Organized Research Units
DUNS #
002484665
City
Princeton
State
NJ
Country
United States
Zip Code
08544
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Ben-David, Eyal; Burga, Alejandro; Kruglyak, Leonid (2017) A maternal-effect selfish genetic element in Caenorhabditis elegans. Science 356:1051-1055
Cook, Daniel E; Zdraljevic, Stefan; Tanny, Robyn E et al. (2016) The Genetic Basis of Natural Variation in Caenorhabditis elegans Telomere Length. Genetics 204:371-83
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Andersen, Erik C; Shimko, Tyler C; Crissman, Jonathan R et al. (2015) A Powerful New Quantitative Genetics Platform, Combining Caenorhabditis elegans High-Throughput Fitness Assays with a Large Collection of Recombinant Strains. G3 (Bethesda) 5:911-20
Balla, Keir M; Andersen, Erik C; Kruglyak, Leonid et al. (2015) A wild C. elegans strain has enhanced epithelial immunity to a natural microsporidian parasite. PLoS Pathog 11:e1004583
Thomas, Cristel G; Wang, Wei; Jovelin, Richard et al. (2015) Full-genome evolutionary histories of selfing, splitting, and selection in Caenorhabditis. Genome Res 25:667-78
Andersen, Erik C; Bloom, Joshua S; Gerke, Justin P et al. (2014) A variant in the neuropeptide receptor npr-1 is a major determinant of Caenorhabditis elegans growth and physiology. PLoS Genet 10:e1004156
Bendesky, Andres; Pitts, Jason; Rockman, Matthew V et al. (2012) Long-range regulatory polymorphisms affecting a GABA receptor constitute a quantitative trait locus (QTL) for social behavior in Caenorhabditis elegans. PLoS Genet 8:e1003157
Andersen, Erik C; Gerke, Justin P; Shapiro, Joshua A et al. (2012) Chromosome-scale selective sweeps shape Caenorhabditis elegans genomic diversity. Nat Genet 44:285-90

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